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Multi-dimensional signal approximation with sparse structured priors using split Bregman iterations.

, , , , and . CoRR, (2016)

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STREAMER: A Powerful Framework for Continuous Learning in Data Streams., , and . CIKM, page 3385-3388. ACM, (2020)FUBA: Federated Uncovering of Backdoor Attacks for Heterogeneous Data., , , and . TPS-ISA, page 55-63. IEEE, (2023)On the robustness of randomized classifiers to adversarial examples., , , , , and . Mach. Learn., 111 (9): 3425-3457 (2022)Multi-dimensional signal approximation with sparse structured priors using split Bregman iterations., , , , and . CoRR, (2016)From neuronal cost-based metrics towards sparse coded signals classification., , , , , and . ESANN, (2012)Detecting Anomalies from Streaming Time Series using Matrix Profile and Shapelets Learning., , and . ICTAI, page 376-383. IEEE, (2020)SecTL: Secure and Verifiable Transfer Learning-based inference., , , and . ICISSP, page 220-229. SCITEPRESS, (2022)Theoretical evidence for adversarial robustness through randomization., , , , , , and . NeurIPS, page 11838-11848. (2019)Combining homomorphic encryption and differential privacy in federated learning., , , , and . PST, page 1-7. IEEE, (2023)Federated learning with incremental clustering for heterogeneous data., , , and . IJCNN, page 1-8. IEEE, (2022)